TY - GEN
T1 - Contestability in algorithmic systems
AU - Vaccaro, Kristen
AU - Karahalios, Karrie
AU - Mulligan, Deirdre K.
AU - Klutz, Daniel
AU - Hirsch, Tad
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/11/9
Y1 - 2019/11/9
N2 - As algorithmic (and particularly machine learning) decision making systems become both more widespread and make more important decisions, there are growing concerns about their embedded values and ability to establish legitimacy among decision subjects. We argue that designing for contestability in these systems can assist in surfacing values, aligning system design and use with context, and building legitimacy. However, designing for contestability can be challenging, particularly in systems that are designed to be opaque: systems need to accurately surface embedded values, expose decision making processes in ways that are meaningful for users, support engagement with and allow influence over system performance, and so on. In addition to these technical aspects, designing for contestability may by challenged by the need to protect intellectual property and prevent gaming of the system. In this workshop, we will address goals, audiences, and designs for contestability in algorithmic systems. We hope to develop a taxonomy of contestable systems and understand the value provided by contestability, while bringing together a community to work on this multidisciplinary problem.
AB - As algorithmic (and particularly machine learning) decision making systems become both more widespread and make more important decisions, there are growing concerns about their embedded values and ability to establish legitimacy among decision subjects. We argue that designing for contestability in these systems can assist in surfacing values, aligning system design and use with context, and building legitimacy. However, designing for contestability can be challenging, particularly in systems that are designed to be opaque: systems need to accurately surface embedded values, expose decision making processes in ways that are meaningful for users, support engagement with and allow influence over system performance, and so on. In addition to these technical aspects, designing for contestability may by challenged by the need to protect intellectual property and prevent gaming of the system. In this workshop, we will address goals, audiences, and designs for contestability in algorithmic systems. We hope to develop a taxonomy of contestable systems and understand the value provided by contestability, while bringing together a community to work on this multidisciplinary problem.
KW - Algorithmic experience
KW - Contestability
UR - http://www.scopus.com/inward/record.url?scp=85076096516&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076096516&partnerID=8YFLogxK
U2 - 10.1145/3311957.3359435
DO - 10.1145/3311957.3359435
M3 - Conference contribution
AN - SCOPUS:85076096516
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 523
EP - 527
BT - CSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery
T2 - 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019
Y2 - 9 November 2019 through 13 November 2019
ER -